Πρόβλεψη πωλήσεων σε αλυσίδα καταστημάτων τυχερών παιχνιδιών με την χρήση προηγμένων μεθόδων αναλυτικής & οπτικοποίησης

Κυριακοπούλου, Μαρία

Revenue forecasting using advanced analytical & visualization methods in retail betting company

Master Thesis

Author

Κυριακοπούλου, Μαρία

Date

2024-05

Abstract

This thesis explores the use of advanced analysis, visualization and forecasting methods to improve revenue forecasting in a betting company. The study aims to develop a reliable and accurate revenue forecasting model to support decision making and strategic planning in the company. The research methodology includes the collection of historical sales data from the stores and the application of various statistical techniques, including time series analysis, regression analysis, etc. In addition to store sales data, different data sets such as demographics or points of interest are considered to support this analysis and verify the generated results. The study also examines the impact of external factors such as competition, economic trends and marketing campaigns on revenue forecast accuracy. The results show that the proposed prediction model outperforms traditional methods in terms of accuracy and reliability. The study concludes that the application of advanced analysis and forecasting methods can significantly improve revenue forecasting in gaming stores and help companies make informed decisions in a competitive market.

Postgraduate Studies Programme

Κυβερνοασφάλεια και Επιστήμη Δεδομένων

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/16733
http://dx.doi.org/10.26267/unipi_dione/4155

Collections

Τμήμα Πληροφορικής

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα